Export Redshift table to JSON using dynamic filename with current date

Want to export data from Redshift table to JSON using current date as file name?

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Export data from Redshift table to JSON file using dynamic filename with date and time

Login to Redshift -> Choose Redshift table -> Set JSON filename template including date -> Export Redshift to JSON using current date as file name

Choose Redshift and logon.

export Redshift table to JSON file - Choose Redshift and logon

“Export From Table” for “JSON to Redshift“.

Export data from Redshift Table To JSON using variable filename with date - task window

Select JSON file type.

Export data from Redshift Table To JSON using variable filename with date - select JSON file type

1. Choose Redshift table.

Unload data from Redshift Table To JSON using dynamic filename with date - select table

2. Set JSON file options. Enter filename template, including date, #yyyy# is for current year, #mm# month, #dd# day, #hh# hour, #mi# minute, #ss# second.

Extract data from Redshift Table To JSON using dynamic filename with date - enter file name

3. Set rows options.

Convert data from Redshift Table To JSON using dynamic filename with date - summary

4. Export Redshift table data to JSON file. Dynamically created JSON file name using present system time.

Dump data from Redshift Table To JSON using dynamic filename with date - export

After exporting, you can view output JSON files.

Export data from Redshift Table To JSON using template filename with date - view JSON file


More about Redshift to JSON converter

Redshift → JSON reference

Type mapping

Value kindin Redshiftin JSON
Intinteger1234 (number)
Bigintbigint9007199254740993
Decimalnumeric(p,s)1234.56 (number)
Floatdouble precision1.234e10 (number)
Textvarchar(n)"text" (string)
Long textvarchar(max)"multi-line\ntext" (escaped newline inside a string)
Datedate"2026-09-18" (string)
Datetimetimestamp"2026-09-18T14:30:00Z" (string)
Binary(none)"base64:..." (string)
Booleanbooleantrue / false (boolean)
JSONsupernested object or array, kept as structure

Dialect differences

Redshift is a database server and JSON is a file format, so the gap is wider than a dialect difference – the rows below are where values and structure stop lining up.

Propertyin Redshiftin JSON
port5439—
identifiers"double quotes"Double quotes; backslash escapes
row limitLIMIT n—
datestimestamp, dateNo date type: dates arrive as strings and the reader must p...
long textVARCHAR(MAX)—
binary—Not supported natively - base64 inside a string
separator—Braces and commas
encoding—UTF-8 by definition
typing—string, number, boolean, null, object, array - no date type
shapeTables of rows and columnsNested objects and arrays
ceiling—Whole document is usually parsed into memory

Command line

SideCommand
RedshiftUNLOAD to S3
Redshift (load)COPY from S3

No counterpart

  • JSON has no equivalent for Binary – it has to be flattened or dropped.

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